Principles of Programming Languages

Size: px
Start display at page:

Download "Principles of Programming Languages"

Transcription

1 Principles of Programming Languages Lesson 4 - Type Checking Collaboration and Management Dana Fisman 1

2 Why declare types? Declaring types allows the compiler to detect errors at compile-time ootherwise errors will only be discovered at runtime oalways preferable to detect errors as early as possible in the development cycle provides code documentation for intended use 2

3 But it is annoying It makes programs longer, and simple programs more complex Typesecript alleviated these problems by making type annotations optional inferring types when possible (making type annotations implicit) This approach is called gradual typing 3

4 4 Runtime Errors Caused by Unexpected Values

5 Runtime Errors Caused by Unexpected Values Compilation error: 5

6 Type checking Type annotations are introduced to allow type checking Type checking is a process that analyzes a given program and verifies that such incompatibities between variables or function parameters and the values to which they are bound at runtime are impossible for all possible executions of the program. Type checking is preformed at compilation time Compilers implementing type checking are a powerful verification tool 6

7 7 Another example

8 Why give up on type checking? Conciseness without type annotations: with type annotations: 8

9 Why give up on type checking? Conciseness is a weak argument Adding type annotations is a form of documentation which clarifies the programmer s intent may result in Adding type declarations prevents this 9

10 Why give up on type checking? Easy adjustment to incremental changes 10 Suppose we want to add address to person In an untyped language we can patch this incrementally In typed-checked languages this would require in-depth modifications.

11 Why give up on type checking? More relevant in interactive programming - Programmer interacts with the interpreter constantly - Doesn t undergo compilation anyway - Not using types annotations allows fast experimentations Counter argument: Once prototyping stage is over, type annotations should be added 11

12 Types in Typescript Type declarations are optional. oif they are present, they are checked, otherwise no check is performed. o This means that regular Javascript with no type annotations at all are valid Typescript expressions. The Typescript compiler performs two tasks: oit translates a Typescript program into a Javascript program oit checks that the program satisfies all the type declarations specified in the program. Type annotations can be implicit and inferred by the Typescript compiler. 12

13 13 Compiling Typescript to Javascript

14 Type annotation - where? With variables declarations Let varname : <vartype> = <varexpr>; In function signature (<Type1>,,<Typek>) => <returntype> funcdef with or without the <varexpr> in other syntactic variants as well (as we shall see later) 14

15 15 Atomic Type Expressions

16 Array Type Expressions An homogenous array of elements of types <Type> is defined as follows: <Type>[] 16

17 Map Type Expressions An map type expression is defined as follows: { <key1> : <Type1>, <key2> : <Type2>,, <keyn> : <Typen>} } 17

18 Map Type Expressions This declaration states that s should be assigned a map value that has at least the keys name, cs, age with their proper types s can be assigned a map value that has more keys Not OK OK Not OK OK 18

19 Named Type Expressions Type expressions can be given names: o Expressions created with map by using keyword interface o Expressions created with array by using keyword type 19

20 Embedded Type Expressions Map expressions can be embedded into each other 20

21 Map Type Relationships Recall: a type is a set of values. Which type contains more elements? o mapa or mapab? o Answer: mapa o We say that mapab is a sub-type of mapa 21

22 Map Type Relationships How can we define the map type that contains all map types? o interface mapall {} What is the relationship between o mapab and mapac? o They are distinct, none contains the other. o They have a non-empty intersection. o What type is their intersection? 22

23 Function Types A function type has the following form (<Type1>,,<Typek>) => <returntype> It provides the type of all parameters and the type of the return value This is called the function signature 23 The function type can be embedded with function definition in various different ways

24 Function Types Untyped functions 24

25 Function Types Specifying parameter values and return value Instead of (p1, p2,, pk) Write (p1:<type1>,,pk:<typek>) : <returntype> 25

26 Function Types Specifying the function value Instead of funcname = funcdef Write funcname: (p1:<type1>,,pk:<typek>) => <returntype> = funcdef 26

27 Function Types Name of parameters can appear in the function type value (the function signature) but are not mandatory and the parameters in the function body can be named differently 27

28 Recursive Types How can we define a binary tree? 28

29 Recursive Types What is the corresponding typesctipt value? 29

30 Recursive Types We need the definition to be recursive 30

31 Recursive Types We need the definition to be recursive 31

32 Recursive Types Does not pass type checking Missing left, right Compilation Error: 32

33 Recursive Types We can use? to denote that a key is optional How is it different than not including left? at all 33

34 Generic Types We have our nice (recursive) binary tree Now we want to compute functions on it: Print all leaves Some all leaves Calculate number of nodes Calculate depth of the tree We nicely implement them Now we need a binary tree where the value is another type. Should we compute all functions a new? 34

35 Generic Types Generic types allows to write complex types that use type variables 35

36 36 Generic Types

37 37 Closure

38 Closure 38 function g depends on the value of b which is not passed to it as a parameter b is defined outside the body of the function the function g captures the value of b The value of function g is called a closure Because it closes the captured value together with the function definition

39 39 Closure

40 How is this useful? What does the function concat return? concat is a function that returns a function What does the returned function do? 40

41 How is this useful? What does the returned function do? It receives data and returns a string computed using the value of data. The returned string also uses header, though header is not passed as a parameter. 41

42 How is this useful? Function concattoname closes on concat by capturing header s value with My name is 42

43 Closures and their types Value Type header data 43

44 Closures and their types Value Type header string data string header + + data +. string 44

45 Closures and their types Value Type header string data string header + + data +. string concat s input 45

46 Closures and their types Value Type header string data string header + + data +. string concat s input string 46

47 Closures and their types Value Type header string data string header + + data +. string concat s input string concat s output 47

48 Closures and their types Value Type header string data string header + + data +. string concat s input string concat s output string => string 48

49 Closures and their types Value Type header string data string header + + data +. string concat s input string concat s output string => string concat 49

50 Closures and their types Value Type header string data string header + + data +. string concat s input string concat s output string => string concat string => (string => string) 50

51 Type of Closures What is the type of the closure concattoname? string => string The fact that it depends on an outside parameter is not reflected in its type It is an internal aspect of closure 51

52 Type Compatibility The process of type checking analyze the given program and checks that there are no type discrepancies. Or that types are compatible Type compatibility is not a symmetric relation 52

53 Can be bonded to When variable of type <V> can be bounded to an expression Cof type <E> we denote it <V> <E> The type checking rules determine when <V> They guarantee that variable defined with type annotation <V> will never be instantiated with a value outside it is value-type C <E> when <E> is a subtype of <V> They need to be checked in o let expressions o assignments 53 o passing parameters to functions

54 binding atomic types When variable of type <V> can be bounded to an expression Cof type <E> we denote it <V> <E> An atomic type can be bounded only to the same atoms type o If <V> is number then <E> should be number o If <V> is string then <E> should be string o If <V> is boolean then <E> should be boolean 54

55 binding array types When variable of type <V> can be bounded to an expression Cof type <E> we denote it <V> <E> An array type <V>[] can be bounded C only to an array type <E>[] such that <V> <E> 55

56 binding map types When variable of type <V> can be bounded to an expression Cof type <E> we denote it <V> <E> <V> A map type {k1: <V1>,, kn : <Vn> } can be bounded Conly to a map type {k1: <E1>,, kn : <En>, } such that <V1> C <E1> <E> <V2> <E2> C <Vn> <En> <E> is a subtype of <V> 56

57 binding function types When variable of type <V> can be bounded to an expression Cof type <E> we denote it <V> <E> A function type (<V1>, <Vn>) => <V> can be bounded only to an function type (<E1>, <En>) => <E> such that C Same order <V> <E> C <E1> C <V1> <E2> Reverse <V2> order C <En> <Vn> 57

58 Implicit & Explicit Type Annotations Typescript can infer the value of a type this is called implicit type annotation 58

59 Implicit & Explicit Type Annotations Typesctipt's : typeof() returns a type annotation Here it returns { name: string, age: number, city : string } Javascript s typeof() returns a string denoting whether the var is compound, or what is its primitive type 59

60 Summary - Types Types are useful in programming languages: o allow the verification of type correctness at compile time instead of failing at runtime o as a form of documentation of programs Types in Typescript are optional. othe Typescript compiler performs type correctness check on the specified types o and compiles the code to untyped Javascript. 60

61 Summary - Types Typescript type annotations are added in the following places: After variable declaration let var : <typeannotation>; As part of function signature function fname ( Param1 : <typeannotation>, Param2 : <typeannotation>, ) : <typeannotation> { } 61

62 Summary - Type Language Typescript provides a type language to write type annotations. Primitive type expressions are number, boolean and string Array type expressions are of the form where T can be any type expression. T[] Map type expressions are of the form where T1, T2, can be any type expression. { key1 : T1, key2 : T2, } Map type expressions can be given a name in the form: interface <name> <map-type-expression> 62

63 Summary - Type Language Type expressions can be embedded into each other to specify the type of complex values. Types can be implicit and inferred by the Typescript compiler in some cases. Recursive types such as trees can be defined using optional properties in named map types. Generic types can be defined using type variables in type expressions. 63

64 Summary - Function Types Function types specify the type of expected parameters and the return types. ( x1 : T1, x2: T2, ) => T This is called the function signature. Closures may capture variable bindings but these do not appear in their type only the parameters and return value do. 64

65 Summary - Type Compatibility Type compatibility is checked in let bindings, in parameters passed to functions, and in assignments <E> is a subtype of <V> C When variable of type <V> can be bounded to an expression of type <E> we denote it <V> <E> It should guarantee that variable declared with annotation T var can be bound to a value or variable of type T val 65

66 Summary - Type Compatibility Primitive types are compatible when they are equal. Array types are compatible when the element types are compatible. Map type x is compatible with map type y when y has at least the same members as x. Function types are compatible when the parameter lists are compatible and the return types are compatible: o The names of the parameters are ignored in the comparison. o Where returned values should be compatible in the same order, and input variables should be compatible in reverse order 66

Principles of Programming Languages

Principles of Programming Languages Principles of Programming Languages www.cs.bgu.ac.il/~ppl172 Collaboration and Management Dana Fisman Lesson 2 - Types with TypeScript 1 Types What are types in programming languages? What types are you

More information

Principles of Programming Languages

Principles of Programming Languages Principles of Programming Languages www.cs.bgu.ac.il/~ppl172 Lesson 6 - Defining a Programming Language Bottom Up Collaboration and Management - Elements of Programming Dana Fisman 1 What we accomplished

More information

Principles of Programming Languages

Principles of Programming Languages Principles of Programming Languages Lesson 14 Type Checking Collaboration and Management Dana Fisman www.cs.bgu.ac.il/~ppl172 1 Type Checking We return to the issue of type safety we discussed informally,

More information

Principles of Programming Languages

Principles of Programming Languages Principles of Programming Languages www.cs.bgu.ac.il/~ppl172 Collaboration and Management Dana Fisman Lesson 5 - Data Types and Operations on Data 1 Types - what we already know Types define sets of values

More information

CSCI-GA Scripting Languages

CSCI-GA Scripting Languages CSCI-GA.3033.003 Scripting Languages 12/02/2013 OCaml 1 Acknowledgement The material on these slides is based on notes provided by Dexter Kozen. 2 About OCaml A functional programming language All computation

More information

Experimental New Directions for JavaScript

Experimental New Directions for JavaScript Experimental New Directions for JavaScript Andreas Rossberg, V8/Google Motivation Broad need for (more) scalable JavaScript Usability, esp. maintainability Performance, esp. predictability ES6 opens up

More information

Topics Covered Thus Far. CMSC 330: Organization of Programming Languages. Language Features Covered Thus Far. Programming Languages Revisited

Topics Covered Thus Far. CMSC 330: Organization of Programming Languages. Language Features Covered Thus Far. Programming Languages Revisited CMSC 330: Organization of Programming Languages Type Systems, Names & Binding Topics Covered Thus Far Programming languages Syntax specification Regular expressions Context free grammars Implementation

More information

CMSC 330: Organization of Programming Languages

CMSC 330: Organization of Programming Languages CMSC 330: Organization of Programming Languages Type Systems, Names and Binding CMSC 330 - Spring 2013 1 Topics Covered Thus Far! Programming languages Ruby OCaml! Syntax specification Regular expressions

More information

Typed Scheme: Scheme with Static Types

Typed Scheme: Scheme with Static Types Typed Scheme: Scheme with Static Types Version 4.1.1 Sam Tobin-Hochstadt October 5, 2008 Typed Scheme is a Scheme-like language, with a type system that supports common Scheme programming idioms. Explicit

More information

User-defined Functions. Conditional Expressions in Scheme

User-defined Functions. Conditional Expressions in Scheme User-defined Functions The list (lambda (args (body s to a function with (args as its argument list and (body as the function body. No quotes are needed for (args or (body. (lambda (x (+ x 1 s to the increment

More information

JavaScript: Sort of a Big Deal,

JavaScript: Sort of a Big Deal, : Sort of a Big Deal, But Sort of Quirky... March 20, 2017 Lisp in C s Clothing (Crockford, 2001) Dynamically Typed: no static type annotations or type checks. C-Like Syntax: curly-braces, for, semicolons,

More information

Principles of Programming Languages

Principles of Programming Languages Principles of Programming Languages Slides by Dana Fisman based on book by Mira Balaban and lecuture notes by Michael Elhadad Lesson 15 Type Inference Collaboration and Management Dana Fisman www.cs.bgu.ac.il/~ppl172

More information

CS558 Programming Languages

CS558 Programming Languages CS558 Programming Languages Winter 2017 Lecture 7b Andrew Tolmach Portland State University 1994-2017 Values and Types We divide the universe of values according to types A type is a set of values and

More information

Types. Type checking. Why Do We Need Type Systems? Types and Operations. What is a type? Consensus

Types. Type checking. Why Do We Need Type Systems? Types and Operations. What is a type? Consensus Types Type checking What is a type? The notion varies from language to language Consensus A set of values A set of operations on those values Classes are one instantiation of the modern notion of type

More information

https://lambda.mines.edu Evaluating programming languages based on: Writability: How easy is it to write good code? Readability: How easy is it to read well written code? Is the language easy enough to

More information

Scala : an LLVM-targeted Scala compiler

Scala : an LLVM-targeted Scala compiler Scala : an LLVM-targeted Scala compiler Da Liu, UNI: dl2997 Contents 1 Background 1 2 Introduction 1 3 Project Design 1 4 Language Prototype Features 2 4.1 Language Features........................................

More information

CS 6110 S11 Lecture 25 Typed λ-calculus 6 April 2011

CS 6110 S11 Lecture 25 Typed λ-calculus 6 April 2011 CS 6110 S11 Lecture 25 Typed λ-calculus 6 April 2011 1 Introduction Type checking is a lightweight technique for proving simple properties of programs. Unlike theorem-proving techniques based on axiomatic

More information

1 Introduction. 3 Syntax

1 Introduction. 3 Syntax CS 6110 S18 Lecture 19 Typed λ-calculus 1 Introduction Type checking is a lightweight technique for proving simple properties of programs. Unlike theorem-proving techniques based on axiomatic semantics,

More information

Typed Racket: Racket with Static Types

Typed Racket: Racket with Static Types Typed Racket: Racket with Static Types Version 5.0.2 Sam Tobin-Hochstadt November 6, 2010 Typed Racket is a family of languages, each of which enforce that programs written in the language obey a type

More information

References and Exceptions. CS 565 Lecture 14 4/1/08

References and Exceptions. CS 565 Lecture 14 4/1/08 References and Exceptions CS 565 Lecture 14 4/1/08 References In most languages, variables are mutable: it serves as a name for a location the contents of the location can be overwritten, and still be

More information

Parsing Scheme (+ (* 2 3) 1) * 1

Parsing Scheme (+ (* 2 3) 1) * 1 Parsing Scheme + (+ (* 2 3) 1) * 1 2 3 Compiling Scheme frame + frame halt * 1 3 2 3 2 refer 1 apply * refer apply + Compiling Scheme make-return START make-test make-close make-assign make- pair? yes

More information

Data Types. Every program uses data, either explicitly or implicitly to arrive at a result.

Data Types. Every program uses data, either explicitly or implicitly to arrive at a result. Every program uses data, either explicitly or implicitly to arrive at a result. Data in a program is collected into data structures, and is manipulated by algorithms. Algorithms + Data Structures = Programs

More information

Semantic Analysis. Outline. The role of semantic analysis in a compiler. Scope. Types. Where we are. The Compiler Front-End

Semantic Analysis. Outline. The role of semantic analysis in a compiler. Scope. Types. Where we are. The Compiler Front-End Outline Semantic Analysis The role of semantic analysis in a compiler A laundry list of tasks Scope Static vs. Dynamic scoping Implementation: symbol tables Types Static analyses that detect type errors

More information

The Typed Racket Guide

The Typed Racket Guide The Typed Racket Guide Version 5.3.6 Sam Tobin-Hochstadt and Vincent St-Amour August 9, 2013 Typed Racket is a family of languages, each of which enforce

More information

n n Try tutorial on front page to get started! n spring13/ n Stack Overflow!

n   n Try tutorial on front page to get started! n   spring13/ n Stack Overflow! Announcements n Rainbow grades: HW1-6, Quiz1-5, Exam1 n Still grading: HW7, Quiz6, Exam2 Intro to Haskell n HW8 due today n HW9, Haskell, out tonight, due Nov. 16 th n Individual assignment n Start early!

More information

Lecture Overview. [Scott, chapter 7] [Sebesta, chapter 6]

Lecture Overview. [Scott, chapter 7] [Sebesta, chapter 6] 1 Lecture Overview Types 1. Type systems 2. How to think about types 3. The classification of types 4. Type equivalence structural equivalence name equivalence 5. Type compatibility 6. Type inference [Scott,

More information

CS 314 Principles of Programming Languages

CS 314 Principles of Programming Languages CS 314 Principles of Programming Languages Lecture 16: Functional Programming Zheng (Eddy Zhang Rutgers University April 2, 2018 Review: Computation Paradigms Functional: Composition of operations on data.

More information

multiple variables having the same value multiple variables having the same identifier multiple uses of the same variable

multiple variables having the same value multiple variables having the same identifier multiple uses of the same variable PART III : Language processing, interpretation, translation, the concept of binding, variables, name and scope, Type, l-value, r-value, reference and unnamed variables, routines, generic routines, aliasing

More information

Chapter 9. Subprograms

Chapter 9. Subprograms Chapter 9 Subprograms Chapter 9 Topics Introduction Fundamentals of Subprograms Design Issues for Subprograms Local Referencing Environments Parameter-Passing Methods Parameters That Are Subprograms Calling

More information

Conceptual modeling of entities and relationships using Alloy

Conceptual modeling of entities and relationships using Alloy Conceptual modeling of entities and relationships using Alloy K. V. Raghavan Indian Institute of Science, Bangalore Conceptual modeling What is it? Capture requirements, other essential aspects of software

More information

Intermediate Code Generation

Intermediate Code Generation Intermediate Code Generation In the analysis-synthesis model of a compiler, the front end analyzes a source program and creates an intermediate representation, from which the back end generates target

More information

Functional Programming. Pure Functional Programming

Functional Programming. Pure Functional Programming Functional Programming Pure Functional Programming Computation is largely performed by applying functions to values. The value of an expression depends only on the values of its sub-expressions (if any).

More information

COMP-520 GoLite Tutorial

COMP-520 GoLite Tutorial COMP-520 GoLite Tutorial Alexander Krolik Sable Lab McGill University Winter 2019 Plan Target languages Language constructs, emphasis on special cases General execution semantics Declarations Types Statements

More information

Introduction to Visual Basic and Visual C++ Arithmetic Expression. Arithmetic Expression. Using Arithmetic Expression. Lesson 4.

Introduction to Visual Basic and Visual C++ Arithmetic Expression. Arithmetic Expression. Using Arithmetic Expression. Lesson 4. Introduction to Visual Basic and Visual C++ Arithmetic Expression Lesson 4 Calculation I154-1-A A @ Peter Lo 2010 1 I154-1-A A @ Peter Lo 2010 2 Arithmetic Expression Using Arithmetic Expression Calculations

More information

6.184 Lecture 4. Interpretation. Tweaked by Ben Vandiver Compiled by Mike Phillips Original material by Eric Grimson

6.184 Lecture 4. Interpretation. Tweaked by Ben Vandiver Compiled by Mike Phillips Original material by Eric Grimson 6.184 Lecture 4 Interpretation Tweaked by Ben Vandiver Compiled by Mike Phillips Original material by Eric Grimson 1 Interpretation Parts of an interpreter Arithmetic calculator

More information

G Programming Languages - Fall 2012

G Programming Languages - Fall 2012 G22.2110-003 Programming Languages - Fall 2012 Week 13 - Part 1 Thomas Wies New York University Review Last lecture Object Oriented Programming Outline Today: Scala Sources: Programming in Scala, Second

More information

Object-Oriented Design Lecture 11 CS 3500 Spring 2010 (Pucella) Tuesday, Feb 16, 2010

Object-Oriented Design Lecture 11 CS 3500 Spring 2010 (Pucella) Tuesday, Feb 16, 2010 Object-Oriented Design Lecture 11 CS 3500 Spring 2010 (Pucella) Tuesday, Feb 16, 2010 11 Polymorphism The functional iterator interface we have defined last lecture is nice, but it is not very general.

More information

COS 320. Compiling Techniques

COS 320. Compiling Techniques Topic 5: Types COS 320 Compiling Techniques Princeton University Spring 2016 Lennart Beringer 1 Types: potential benefits (I) 2 For programmers: help to eliminate common programming mistakes, particularly

More information

CSE 431S Type Checking. Washington University Spring 2013

CSE 431S Type Checking. Washington University Spring 2013 CSE 431S Type Checking Washington University Spring 2013 Type Checking When are types checked? Statically at compile time Compiler does type checking during compilation Ideally eliminate runtime checks

More information

Chapter 9 Subprograms

Chapter 9 Subprograms Chapter 9 Subprograms We now explore the design of subprograms, including parameter-passing methods, local referencing environment, overloaded subprograms, generic subprograms, and the aliasing and problematic

More information

G Programming Languages - Fall 2012

G Programming Languages - Fall 2012 G22.2110-003 Programming Languages - Fall 2012 Lecture 4 Thomas Wies New York University Review Last week Control Structures Selection Loops Adding Invariants Outline Subprograms Calling Sequences Parameter

More information

CS4215 Programming Language Implementation. Martin Henz

CS4215 Programming Language Implementation. Martin Henz CS4215 Programming Language Implementation Martin Henz Thursday 26 January, 2012 2 Chapter 4 The Language simpl In this chapter, we are exting the language epl in order to provide a more powerful programming

More information

JAVASCRIPT AND JQUERY: AN INTRODUCTION (WEB PROGRAMMING, X452.1)

JAVASCRIPT AND JQUERY: AN INTRODUCTION (WEB PROGRAMMING, X452.1) Technology & Information Management Instructor: Michael Kremer, Ph.D. Class 2 Professional Program: Data Administration and Management JAVASCRIPT AND JQUERY: AN INTRODUCTION (WEB PROGRAMMING, X452.1) AGENDA

More information

Programming Languages and Compilers (CS 421)

Programming Languages and Compilers (CS 421) Programming Languages and Compilers (CS 421) Elsa L Gunter 2112 SC, UIUC http://courses.engr.illinois.edu/cs421 Based in part on slides by Mattox Beckman, as updated by Vikram Adve and Gul Agha 10/3/17

More information

Big Bang. Designing a Statically Typed Scripting Language. Pottayil Harisanker Menon, Zachary Palmer, Scott F. Smith, Alexander Rozenshteyn

Big Bang. Designing a Statically Typed Scripting Language. Pottayil Harisanker Menon, Zachary Palmer, Scott F. Smith, Alexander Rozenshteyn Big Bang Designing a Statically Typed Scripting Language Pottayil Harisanker Menon, Zachary Palmer, Scott F. Smith, Alexander Rozenshteyn The Johns Hopkins University June 11, 2012 Scripting Languages!

More information

CMSC 330: Organization of Programming Languages

CMSC 330: Organization of Programming Languages CMSC 330: Organization of Programming Languages Operational Semantics CMSC 330 Summer 2018 1 Formal Semantics of a Prog. Lang. Mathematical description of the meaning of programs written in that language

More information

Typed Lambda Calculus. Chapter 9 Benjamin Pierce Types and Programming Languages

Typed Lambda Calculus. Chapter 9 Benjamin Pierce Types and Programming Languages Typed Lambda Calculus Chapter 9 Benjamin Pierce Types and Programming Languages t ::= x x. t t t Call-by-value small step perational Semantics terms variable v ::= values abstraction x. t abstraction values

More information

Principles of Programming Languages Topic: Scope and Memory Professor Louis Steinberg Fall 2004

Principles of Programming Languages Topic: Scope and Memory Professor Louis Steinberg Fall 2004 Principles of Programming Languages Topic: Scope and Memory Professor Louis Steinberg Fall 2004 CS 314, LS,BR,LTM: Scope and Memory 1 Review Functions as first-class objects What can you do with an integer?

More information

Topics Covered Thus Far CMSC 330: Organization of Programming Languages

Topics Covered Thus Far CMSC 330: Organization of Programming Languages Topics Covered Thus Far CMSC 330: Organization of Programming Languages Names & Binding, Type Systems Programming languages Ruby Ocaml Lambda calculus Syntax specification Regular expressions Context free

More information

Subprograms. Copyright 2015 Pearson. All rights reserved. 1-1

Subprograms. Copyright 2015 Pearson. All rights reserved. 1-1 Subprograms Introduction Fundamentals of Subprograms Design Issues for Subprograms Local Referencing Environments Parameter-Passing Methods Parameters That Are Subprograms Calling Subprograms Indirectly

More information

Formal Systems and their Applications

Formal Systems and their Applications Formal Systems and their Applications Dave Clarke (Dave.Clarke@cs.kuleuven.be) Acknowledgment: these slides are based in part on slides from Benjamin Pierce and Frank Piessens 1 Course Overview Introduction

More information

CS Lecture 7: The dynamic environment. Prof. Clarkson Spring Today s music: Down to Earth by Peter Gabriel from the WALL-E soundtrack

CS Lecture 7: The dynamic environment. Prof. Clarkson Spring Today s music: Down to Earth by Peter Gabriel from the WALL-E soundtrack CS 3110 Lecture 7: The dynamic environment Prof. Clarkson Spring 2015 Today s music: Down to Earth by Peter Gabriel from the WALL-E soundtrack Review Course so far: Syntax and semantics of (most of) OCaml

More information

Implementing Recursion

Implementing Recursion Implementing Recursion Shriram Krishnamurthi 2003-09-19 We ve seen that there are (at least two, fairly distinct ways of representing environments To implement recursive environments, we need to provide

More information

Lecture 15 CIS 341: COMPILERS

Lecture 15 CIS 341: COMPILERS Lecture 15 CIS 341: COMPILERS Announcements HW4: OAT v. 1.0 Parsing & basic code generation Due: March 28 th No lecture on Thursday, March 22 Dr. Z will be away Zdancewic CIS 341: Compilers 2 Adding Integers

More information

Lecture 16: Static Semantics Overview 1

Lecture 16: Static Semantics Overview 1 Lecture 16: Static Semantics Overview 1 Lexical analysis Produces tokens Detects & eliminates illegal tokens Parsing Produces trees Detects & eliminates ill-formed parse trees Static semantic analysis

More information

From the λ-calculus to Functional Programming Drew McDermott Posted

From the λ-calculus to Functional Programming Drew McDermott Posted From the λ-calculus to Functional Programming Drew McDermott drew.mcdermott@yale.edu 2015-09-28 Posted 2015-10-24 The λ-calculus was intended from its inception as a model of computation. It was used by

More information

Question No: 1 ( Marks: 1 ) - Please choose one One difference LISP and PROLOG is. AI Puzzle Game All f the given

Question No: 1 ( Marks: 1 ) - Please choose one One difference LISP and PROLOG is. AI Puzzle Game All f the given MUHAMMAD FAISAL MIT 4 th Semester Al-Barq Campus (VGJW01) Gujranwala faisalgrw123@gmail.com MEGA File Solved MCQ s For Final TERM EXAMS CS508- Modern Programming Languages Question No: 1 ( Marks: 1 ) -

More information

CS 314 Principles of Programming Languages

CS 314 Principles of Programming Languages CS 314 Principles of Programming Languages Lecture 18: Functional Programming Zheng (Eddy) Zhang Rutgers University April 9, 2018 Review: Defining Scheme Functions (define ( lambda (

More information

Weiss Chapter 1 terminology (parenthesized numbers are page numbers)

Weiss Chapter 1 terminology (parenthesized numbers are page numbers) Weiss Chapter 1 terminology (parenthesized numbers are page numbers) assignment operators In Java, used to alter the value of a variable. These operators include =, +=, -=, *=, and /=. (9) autoincrement

More information

Introduction to ML. Mooly Sagiv. Cornell CS 3110 Data Structures and Functional Programming

Introduction to ML. Mooly Sagiv. Cornell CS 3110 Data Structures and Functional Programming Introduction to ML Mooly Sagiv Cornell CS 3110 Data Structures and Functional Programming Typed Lambda Calculus Chapter 9 Benjamin Pierce Types and Programming Languages Call-by-value Operational Semantics

More information

Semantic Analysis. Outline. The role of semantic analysis in a compiler. Scope. Types. Where we are. The Compiler so far

Semantic Analysis. Outline. The role of semantic analysis in a compiler. Scope. Types. Where we are. The Compiler so far Outline Semantic Analysis The role of semantic analysis in a compiler A laundry list of tasks Scope Static vs. Dynamic scoping Implementation: symbol tables Types Statically vs. Dynamically typed languages

More information

Static Semantics. Lecture 15. (Notes by P. N. Hilfinger and R. Bodik) 2/29/08 Prof. Hilfinger, CS164 Lecture 15 1

Static Semantics. Lecture 15. (Notes by P. N. Hilfinger and R. Bodik) 2/29/08 Prof. Hilfinger, CS164 Lecture 15 1 Static Semantics Lecture 15 (Notes by P. N. Hilfinger and R. Bodik) 2/29/08 Prof. Hilfinger, CS164 Lecture 15 1 Current Status Lexical analysis Produces tokens Detects & eliminates illegal tokens Parsing

More information

CIS 1.5 Course Objectives. a. Understand the concept of a program (i.e., a computer following a series of instructions)

CIS 1.5 Course Objectives. a. Understand the concept of a program (i.e., a computer following a series of instructions) By the end of this course, students should CIS 1.5 Course Objectives a. Understand the concept of a program (i.e., a computer following a series of instructions) b. Understand the concept of a variable

More information

Chapter 9. Subprograms

Chapter 9. Subprograms Chapter 9 Subprograms Chapter 9 Topics Introduction Fundamentals of Subprograms Design Issues for Subprograms Local Referencing Environments Parameter-Passing Methods Parameters That Are Subprograms Calling

More information

JSJS - Project Proposal

JSJS - Project Proposal JSJS - Project Proposal A general purpose, strongly typed programming language for the web Jain Bahul Srivastav Prakhar Jain Ayush Sadekar Gaurang bkj2111 ps2894 aj2672 gss2147 Description JSJS is a strongly

More information

Software Verification for Java 5

Software Verification for Java 5 Software Verification for Java 5 KeY Symposium 2007 Mattias Ulbrich June 14, 2007 Content KeY + Java 5 Typesafe Enumeration Datatypes Enhanced For Loops Generic Classes 1. Keep pace with the progress of

More information

B.6 Types and Overloading

B.6 Types and Overloading 266 appendix b: alloy language reference B.6 Types and Overloading Alloy s type system was designed with a different aim from that of a programming language. There is no notion in a modeling language of

More information

The Compiler So Far. CSC 4181 Compiler Construction. Semantic Analysis. Beyond Syntax. Goals of a Semantic Analyzer.

The Compiler So Far. CSC 4181 Compiler Construction. Semantic Analysis. Beyond Syntax. Goals of a Semantic Analyzer. The Compiler So Far CSC 4181 Compiler Construction Scanner - Lexical analysis Detects inputs with illegal tokens e.g.: main 5 (); Parser - Syntactic analysis Detects inputs with ill-formed parse trees

More information

CS558 Programming Languages

CS558 Programming Languages CS558 Programming Languages Winter 2018 Lecture 7b Andrew Tolmach Portland State University 1994-2018 Dynamic Type Checking Static type checking offers the great advantage of catching errors early And

More information

Client-Side Web Technologies. JavaScript Part I

Client-Side Web Technologies. JavaScript Part I Client-Side Web Technologies JavaScript Part I JavaScript First appeared in 1996 in Netscape Navigator Main purpose was to handle input validation that was currently being done server-side Now a powerful

More information

CSCI 3155: Homework Assignment 4

CSCI 3155: Homework Assignment 4 CSCI 3155: Homework Assignment 4 Spring 2012: Due Monday, March 12, 2012 Like last time, find a partner. You will work on this assignment in pairs. However, note that each student needs to submit a write-up

More information

Back to OCaml. Summary of polymorphism. Example 1. Type inference. Example 2. Example 2. Subtype. Polymorphic types allow us to reuse code.

Back to OCaml. Summary of polymorphism. Example 1. Type inference. Example 2. Example 2. Subtype. Polymorphic types allow us to reuse code. Summary of polymorphism Subtype Parametric Bounded F-bounded Back to OCaml Polymorphic types allow us to reuse code However, not always obvious from staring at code But... Types never entered w/ program!

More information

CS 314 Principles of Programming Languages

CS 314 Principles of Programming Languages CS 314 Principles of Programming Languages Lecture 17: Functional Programming Zheng (Eddy Zhang Rutgers University April 4, 2018 Class Information Homework 6 will be posted later today. All test cases

More information

Note 12/1/ Review of Inheritance Practice: Please write down 10 most important facts you know about inheritance...

Note 12/1/ Review of Inheritance Practice: Please write down 10 most important facts you know about inheritance... CISC 2000 Computer Science II Fall, 2014 Note 12/1/2014 1 Review of Inheritance Practice: Please write down 10 most important facts you know about inheritance... (a) What s the purpose of inheritance?

More information

The role of semantic analysis in a compiler

The role of semantic analysis in a compiler Semantic Analysis Outline The role of semantic analysis in a compiler A laundry list of tasks Scope Static vs. Dynamic scoping Implementation: symbol tables Types Static analyses that detect type errors

More information

CS-201 Introduction to Programming with Java

CS-201 Introduction to Programming with Java CS-201 Introduction to Programming with Java California State University, Los Angeles Computer Science Department Lecture IX: Methods Introduction method: construct for grouping statements together to

More information

EXAMINATION INSTRUCTIONS

EXAMINATION INSTRUCTIONS Midterm exam CSE5/503 Computer Science I Spring 209 EXAMINATION INSTRUCTIONS This examination has 9 pages. If your copy is missing a page, let one of the course staff know. Before starting this test, students

More information

Programming in C. main. Level 2. Level 2 Level 2. Level 3 Level 3

Programming in C. main. Level 2. Level 2 Level 2. Level 3 Level 3 Programming in C main Level 2 Level 2 Level 2 Level 3 Level 3 1 Programmer-Defined Functions Modularize with building blocks of programs Divide and Conquer Construct a program from smaller pieces or components

More information

Official Survey. Cunning Plan: Focus On Objects. The Need for a Calculus. Object Calculi Summary. Why Not Use λ-calculus for OO?

Official Survey. Cunning Plan: Focus On Objects. The Need for a Calculus. Object Calculi Summary. Why Not Use λ-calculus for OO? Modeling and Understanding Object-Oriented Oriented Programming Official Survey Please fill out the Toolkit course survey 40142 CS 655-1 Apr-21-2006 Midnight May-04-2006 9am Why not do it this evening?

More information

Java Primer 1: Types, Classes and Operators

Java Primer 1: Types, Classes and Operators Java Primer 1 3/18/14 Presentation for use with the textbook Data Structures and Algorithms in Java, 6th edition, by M. T. Goodrich, R. Tamassia, and M. H. Goldwasser, Wiley, 2014 Java Primer 1: Types,

More information

CSE 413 Languages & Implementation. Hal Perkins Winter 2019 Structs, Implementing Languages (credits: Dan Grossman, CSE 341)

CSE 413 Languages & Implementation. Hal Perkins Winter 2019 Structs, Implementing Languages (credits: Dan Grossman, CSE 341) CSE 413 Languages & Implementation Hal Perkins Winter 2019 Structs, Implementing Languages (credits: Dan Grossman, CSE 341) 1 Goals Representing programs as data Racket structs as a better way to represent

More information

CS321 Languages and Compiler Design I Winter 2012 Lecture 13

CS321 Languages and Compiler Design I Winter 2012 Lecture 13 STATIC SEMANTICS Static Semantics are those aspects of a program s meaning that can be studied at at compile time (i.e., without running the program). Contrasts with Dynamic Semantics, which describe how

More information

Recap: Functions as first-class values

Recap: Functions as first-class values Recap: Functions as first-class values Arguments, return values, bindings What are the benefits? Parameterized, similar functions (e.g. Testers) Creating, (Returning) Functions Iterator, Accumul, Reuse

More information

CS201- Introduction to Programming Current Quizzes

CS201- Introduction to Programming Current Quizzes CS201- Introduction to Programming Current Quizzes Q.1 char name [] = Hello World ; In the above statement, a memory of characters will be allocated 13 11 12 (Ans) Q.2 A function is a block of statements

More information

CS 6110 S11 Lecture 12 Naming and Scope 21 February 2011

CS 6110 S11 Lecture 12 Naming and Scope 21 February 2011 CS 6110 S11 Lecture 12 Naming and Scope 21 February 2011 In this lecture we introduce the topic of scope in the context of the λ-calculus and define translations from λ-cbv to FL for the two most common

More information

Case Study: Undefined Variables

Case Study: Undefined Variables Case Study: Undefined Variables CS 5010 Program Design Paradigms Bootcamp Lesson 7.4 Mitchell Wand, 2012-2017 This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International

More information

Functional Programming Mid-term exam Tuesday 3/10/2017

Functional Programming Mid-term exam Tuesday 3/10/2017 Functional Programming Mid-term exam Tuesday 3/10/2017 Name: Student number: Before you begin: Do not forget to write down your name and student number above. If necessary, explain your answers in English.

More information

Lecture 12: Data Types (and Some Leftover ML)

Lecture 12: Data Types (and Some Leftover ML) Lecture 12: Data Types (and Some Leftover ML) COMP 524 Programming Language Concepts Stephen Olivier March 3, 2009 Based on slides by A. Block, notes by N. Fisher, F. Hernandez-Campos, and D. Stotts Goals

More information

Recitation 8: Dynamic and Unityped Languages : Foundations of Programming Languages

Recitation 8: Dynamic and Unityped Languages : Foundations of Programming Languages Recitation 8: Dynamic and Unityped Languages 15-312: Foundations of Programming Languages Jeanne Luning Prak, Charles Yuan March 7, 2018 1 Untyped Languages In this recitation, we explore two languages:

More information

An Explicit Continuation Evaluator for Scheme

An Explicit Continuation Evaluator for Scheme Massachusetts Institute of Technology Course Notes 2 6.844, Spring 05: Computability Theory of and with Scheme February 17 Prof. Albert R. Meyer revised March 3, 2005, 1265 minutes An Explicit Continuation

More information

CSCI312 Principles of Programming Languages!

CSCI312 Principles of Programming Languages! CSCI312 Principles of Programming Languages! Chapter 5 Types Xu Liu! ! 5.1!Type Errors! 5.2!Static and Dynamic Typing! 5.3!Basic Types! 5.4!NonBasic Types! 5.5!Recursive Data Types! 5.6!Functions as Types!

More information

CS558 Programming Languages

CS558 Programming Languages CS558 Programming Languages Fall 2016 Lecture 3a Andrew Tolmach Portland State University 1994-2016 Formal Semantics Goal: rigorous and unambiguous definition in terms of a wellunderstood formalism (e.g.

More information

Course year Typeclasses and their instances

Course year Typeclasses and their instances Course year 2016-2017 Typeclasses and their instances Doaitse Swierstra and Atze Dijkstra with extra s Utrecht University September 29, 2016 1. The basics 2 Overloading versus parametric polymorphism 1

More information

SML A F unctional Functional Language Language Lecture 19

SML A F unctional Functional Language Language Lecture 19 SML A Functional Language Lecture 19 Introduction to SML SML is a functional programming language and acronym for Standard d Meta Language. SML has basic data objects as expressions, functions and list

More information

The Substitution Model

The Substitution Model The Substitution Model Prof. Clarkson Fall 2017 Today s music: Substitute by The Who Review Previously in 3110: simple interpreter for expression language abstract syntax tree (AST) evaluation based on

More information

Statement level control structures

Statement level control structures 1 Statement level control structures CS 315 Programming Languages Pinar Duygulu Bilkent University Control Statements: Evolution 2 FORTRAN I control statements were based directly on IBM 704 hardware Much

More information

Types and Type Inference

Types and Type Inference CS 242 2012 Types and Type Inference Notes modified from John Mitchell and Kathleen Fisher Reading: Concepts in Programming Languages, Revised Chapter 6 - handout on Web!! Outline General discussion of

More information

Subprograms. Bilkent University. CS315 Programming Languages Pinar Duygulu

Subprograms. Bilkent University. CS315 Programming Languages Pinar Duygulu 1 Subprograms CS 315 Programming Languages Pinar Duygulu Bilkent University Introduction 2 Two fundamental abstraction facilities Process abstraction Emphasized from early days Data abstraction Emphasized

More information

Test 1 Summer 2014 Multiple Choice. Write your answer to the LEFT of each problem. 5 points each 1. Preprocessor macros are associated with: A. C B.

Test 1 Summer 2014 Multiple Choice. Write your answer to the LEFT of each problem. 5 points each 1. Preprocessor macros are associated with: A. C B. CSE 3302 Test 1 1. Preprocessor macros are associated with: A. C B. Java C. JavaScript D. Pascal 2. (define x (lambda (y z) (+ y z))) is an example of: A. Applying an anonymous function B. Defining a function

More information

Lexical Considerations

Lexical Considerations Massachusetts Institute of Technology Department of Electrical Engineering and Computer Science 6.035, Spring 2010 Handout Decaf Language Tuesday, Feb 2 The project for the course is to write a compiler

More information